Luigi Grossi

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Foto, February 29, 2020
Position
Associate Professor
Role
Associate Professor
Academic sector
SECS-S/03 - ECONOMIC STATISTICS
Research sector (ERC)
PE1_14 - Statistics

Office
Polo Santa Marta,  Floor 1,  Room 1.35
Telephone
045 802 8247
Fax
045 802 8177
E-mail
luigi|grossi*univr|it <== Replace | with . and * with @ to have the right email address.

Office Hours

Wednesday, Hours 2:30 PM - 4:30 PM,   Polo Santa Marta, Floor 1, room 1.35

Curriculum

Luigi Grossi obtained his PhD in Statistics at the University of Bologna and has been assistant professor at the University of Parma. He has been Visiting Fellow at the PennState University (USA), the University of Warwick (UK), University of Aarhus (DK) and University of Loughborough (UK). He has been Associate Fellow at the Department of Economics, University of Warwick. He has worked on many projects financed by the Italian Ministry of Education and by the European Commission about Energy Economics and Robust Statistics. He has been the Guest Editor of a special issue of Energy Economics on “Quantitative Methods for Energy Markets”. He has supervised many PhD students and post-doc students engaged in the analysis of Energy Markets. He is author of several papers published on international journals such as Energy Economics, The Energy Journal, Energy Policy, Oxford Economic Papers, Computational Statistics and Data Analysis, Environmental and Ecological Statistics.

Modules

Modules running in the period selected: 33.
Click on the module to see the timetable and course details.

Course Name Total credits Online Teacher credits Modules offered by this teacher
Master’s degree in Marketing and Corporate Communication Business Statistics (2020/2021)   9  eLearning 9 
Master’s degree in Banking and Finance Financial statistics (2020/2021)   9  eLearning 9 
Master’s degree in Marketing and Corporate Communication Business Statistics (2019/2020)   9  eLearning 9 
PhD in Economics and Management Energy Economics (2019/2020)   2.5  eLearning 2.5 
Master’s degree in Banking and Finance Financial statistics (2019/2020)   9  eLearning 9 
Master’s degree in Marketing and Corporate Communication Business Statistics (2018/2019)   9  eLearning 9 
Master’s degree in Banking and Finance Financial statistics (2018/2019)   9  eLearning 9 
Master’s degree in Marketing and Corporate Communication Business Statistics (2017/2018)   9  eLearning 9 
Master’s degree in Banking and Finance Financial statistics (2017/2018)   9  eLearning 9 
PhD in Economics and Management Attività didattica dottorato (2017/2018)   10    1 
Professional Master's programme in Internal auditing & compliance Fondamenti statistici e tecniche finanziarie (2017/2018)   2    2 
Master’s degree in Banking and Finance Financial statistics (2016/2017)   9  eLearning 9 
Master’s degree in Marketing and Corporate Communication Statistics & market research (2016/2017)   9  eLearning 9 
Master’s degree in Banking and Finance Financial statistics (2015/2016)   9  eLearning 9 
Master’s degree in Marketing and Corporate Communication Statistics & market research (2015/2016)   9  eLearning 9 
Master’s degree in Banking and Finance Financial statistics (2014/2015)   9  eLearning 9 
Master’s degree in Marketing and Corporate Communication Statistics & market research (2014/2015)   9  eLearning 9 
Master’s degree in Banking and Finance Financial statistics (2013/2014)   9  eLearning 9 
Master’s degree in Marketing and Corporate Communication Statistics & market research (2013/2014)   9  eLearning 9 
Master’s degree in Banking and Finance Financial statistics (2012/2013)   9  eLearning 9 
Master’s degree in Marketing and Corporate Communication Statistics & market research (2012/2013)   9  eLearning 9 
Master’s degree in Marketing and Corporate Communication Business Statistics (2011/2012)   6  eLearning 4 
Master’s degree in Banking and Finance Financial statistics (2011/2012)   9  eLearning 7 
Master’s degree in Marketing and Corporate Communication Statistics & market research (2011/2012)   9  eLearning 7 
Master’s degree in Business Administration and Corporate Law Business Statistics (2010/2011)   6  eLearning 4 
Master’s degree in Banking and Finance Financial statistics (2010/2011)   9  eLearning 9 
Master’s degree in Marketing and Corporate Communication Statistics & market research (2010/2011)   9  eLearning 7 
Master’s degree in Marketing and Corporate Communication Business Statistics (2009/2010)   6    6 
Master's degree in Economics and Commerce (category 64/S) (until 2008-2009) Economic Statistics (2009/2010)   5    5 
Master's degree in Marketing and Communication (until 2008-2009) Business Statistics (2008/2009)   5    5 
Master's degree in Quantitative Methods for Finance (until 2008-2009) Statistics methods for Financial markets (2008/2009)   10    10 
Master's degree in Quantitative Methods for Finance (until 2008-2009) Statistics methods for Financial markets (2007/2008)   10    10 
Master's degree in Quantitative Methods for Finance (until 2008-2009) Statistics methods for Financial markets (2006/2007)   10    10 

Advanced teaching activities
Name Online
Activities PhD Course In Economics and Management (35° ciclo - PhD in Economics and Management)
 
Research interests
Topic Description Research area
JEL C32 - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Models;Diffusion Processes;State Space Models Robust estimation of model coefficients applied to financial and energy data odered by time. Analysis and prediction of prices collected on financial and electricity markets. Quantitative Methods for Economics
Multiple or Simultaneous Equation Models; Multiple Variables
JEL C53 - Forecasting and Prediction Methods;Simulation Methods Statistical methods for short-term prediction of time series. Evaluation of forecasting performance using computer simulated data. Quantitative Methods for Economics
Econometric Modeling
JEL C58 - Financial Econometrics Covers studies related to econometric modeling of financial markets. Analysis of econometric models with continuous time and its applications in finance. Robust estimates for volatility models of financial returns. Quantitative Methods for Economics
Econometric Modeling
JEL Q43 - Energy and the Macroeconomy Statistical analysis of energy efficiency and intensity observed at country and regional level. Concentration indexes are applied and decomposed to improve the economic interpretation of the output. Enviromental Economics, Energy Economics, Sustainability and Development
Energy
JEL Q47 - Energy Forecasting Forecasting energy prices by the estimation of models which capture possible non-linear time evolution of prices. Enviromental Economics, Energy Economics, Sustainability and Development
Energy
MSC 62F35 - Robustness and adaptive procedures Robust estimation of model parameters which are not affected by the presence of outlying observations. Outlier detection through forward search methods. Quantitative Methods for Economics
Parametric inference
Projects
Title Starting date
Assegno: Analisi statistica robusta di alcuni mercati energetici europei 7/1/12
Nuove metodologie robuste per l'analisi di dati complessi - Metodi robusti per l'analisi dei mercati dell'energia elettrica. 1/1/11
Assegno: Analisi della dinamica industriale mediante modelli per dati longitudinali (2) 12/1/10
Assegno: Analisi della dinamica industriale mediante modelli per dati longitudinali 12/1/08
Mosaico - Analisi Costi e Benefici del Modello Riabilitativo per Pazienti che hanno subito Traumi Cranici 1/1/07